Optimizing the Reliability and Efficiency for an Assembly Line That Considers Uncertain Task Time Attributes

IEEE Access

Yuchen Li¹  Xiaowen Tang¹  Yao Fu¹  Xiaofeng Hu² 

[1] Research Base of Beijing Modern Manufacturing Development, School of Economics and Management, Beijing University of Technology, Beijing, China;School of Mechanical Engineering, Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China;

关键词: Assembly line balancing;    belief reliability;    neighborhood search;    uncertain task times;   

DOI  :  10.1109/ACCESS.2019.2897730

来源: DOAJ

【 摘 要 】

An assembly line is an industrial arrangement of machines, equipment, and operators for continuous flow of workpieces in mass-production operations. In an assembly line balancing problem, tasks are allocated to workstations according to their processing times and precedence relationships amongst tasks. Nowadays, some research investigated the reliability of assembly production by taking account of task time uncertainties. Our research utilizes uncertainty theory to model task time uncertainties and introduces the belief reliability measure to the assembly line production for the first time. We proposed a multi-objective optimization model that aimed at maximizing the belief reliability and minimizing the cycle time. The problem is solved using a newly developed restart neighborhood search method. The numerical experiments are conducted to verify its efficiency. The methodology proposed in this paper is applicable to any industry (including the automotive industry) when the historical data on task processing times are very scarce.

【 授权许可】

Unknown